SCALING-UP DEEP LEARNING PREDICTIONS OF HYDROGRAPHY FROM IFSAR DATA IN ALASKA

Autor: L. V. Stanislawski, E. J. Shavers, A. J. Duffy, P. Thiem, N. Jaroenchai, S. Wang, Z. Jiang, B. J. Kronenfeld, B. P. Buttenfield

Publikováno v: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-4-W1-2022, Pp 449-456 (2022)

The United States National Hydrography Dataset (NHD) is a database of vector features representing the surface water features for the country. The NHD was originally compiled from hydrographic content on U.S. Geological Survey topographic maps but is

Externí odkaz: https://doaj.org/article/cd8d6b5e8c174b6f9fc0fe3689223b4a